GOES-16 Level 2 Land Surface Temperature—Filling for Cloud-Masked Data

The GOES-16 satellite ground segment team develops different levels of environmental products and makes them readily available to the public. The level 2 Land Surface Temperature (LST) product aims to provide a remote measurement of the Earth’s surface temperature every hour. LST is of fundamental importance to many aspects of the geosciences, for example, to study Urban Heat Islands and heat waves. The product however, does not provide values for pixels where the satellite imager’s view is obstructed by clouds, as determined by a cloud mask intermediate product.

This research project is focused on developing algorithms to estimate LST in areas under the cloud mask. This poster presentation will focus on reviewing published methods for the improvement of LST products for GOES and on other satellites (MODIS and Landsat). We will also discuss preliminary work performed under a NOAA Experiential Research and Training Opportunities (NERTO) internship on Summer 2019. Future directions for the work will be discussed.

This study is supported and monitored by The National Oceanic and Atmospheric Administration – Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies under the Cooperative Agreement Grant #: NA16SEC4810008.